ReadPapers
1.
Introduction
2.
Regional Time Stepping for SPH
3.
FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity
4.
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
5.
ParticleGS: Particle-Based Dynamics Modeling of 3D Gaussians for Prior-free Motion Extrapolation
6.
Animate3d: Animating any 3d model with multi-view video diffusion
7.
Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos
8.
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
9.
PIG: Physically-based Multi-Material Interaction with 3D Gaussians
10.
EnliveningGS: Active Locomotion of 3DGS
11.
SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction
12.
PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation
13.
PMG: Progressive Motion Generation via Sparse Anchor Postures Curriculum Learning
14.
LengthAware Motion Synthesis via Latent Diffusion
15.
IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model
16.
UniMoGen: Universal Motion Generation
17.
AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion
18.
Flame: Free-form language-based motion synthesis & editing
19.
Human Motion Diffusion as a Generative Prior
20.
Text-driven Human Motion Generation with Motion Masked Diffusion Model
21.
ReMoDiffuse: RetrievalAugmented Motion Diffusion Model
22.
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
23.
ReAlign: Bilingual Text-to-Motion Generation via Step-Aware Reward-Guided Alignment
24.
Absolute Coordinates Make Motion Generation Easy
25.
Seamless Human Motion Composition with Blended Positional Encodings
26.
FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
27.
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
28.
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
29.
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework
30.
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation
31.
Motion Mamba: Efficient and Long Sequence Motion Generation
32.
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
33.
T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences
34.
AttT2M:Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
35.
BAD: Bidirectional Auto-Regressive Diffusion for Text-to-Motion Generation
36.
MMM: Generative Masked Motion Model
37.
Priority-Centric Human Motion Generation in Discrete Latent Space
38.
AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
39.
MotionGPT: Human Motion as a Foreign Language
40.
Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation
41.
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
42.
Incorporating Physics Principles for Precise Human Motion Prediction
43.
PIMNet: Physics-infused Neural Network for Human Motion Prediction
44.
PhysDiff: Physics-Guided Human Motion Diffusion Model
45.
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
46.
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
47.
Geometric Neural Distance Fields for Learning Human Motion Priors
48.
Character Controllers Using Motion VAEs
49.
Improving Human Motion Plausibility with Body Momentum
50.
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
51.
Modi: Unconditional motion synthesis from diverse data
52.
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
53.
A deep learning framework for character motion synthesis and editing
54.
Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors
55.
TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos
56.
X-MoGen: Unified Motion Generation across Humans and Animals
57.
Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis
58.
MotionShot: Adaptive Motion Transfer across Arbitrary Objects for Text-to-Video Generation
59.
Drop: Dynamics responses from human motion prior and projective dynamics
60.
POMP: Physics-constrainable Motion Generative Model through Phase Manifolds
61.
Dreamgaussian4d: Generative 4d gaussian splatting
62.
Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video
63.
AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation
64.
ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction
65.
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
66.
Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals
67.
Think Before You Diffuse: LLMs-Guided Physics-Aware Video Generation
68.
Generating time-consistent dynamics with discriminator-guided image diffusion models
69.
GENMO:AGENeralist Model for Human MOtion
70.
HGM3: HIERARCHICAL GENERATIVE MASKED MOTION MODELING WITH HARD TOKEN MINING
71.
Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion
72.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
73.
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
74.
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
75.
DragAnything: Motion Control for Anything using Entity Representation
76.
PhysAnimator: Physics-Guided Generative Cartoon Animation
77.
SOAP: Style-Omniscient Animatable Portraits
78.
Neural Discrete Representation Learning
79.
TSTMotion: Training-free Scene-aware Text-to-motion Generation
80.
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
81.
A lip sync expert is all you need for speech to lip generation in the wild
82.
MUSETALK: REAL-TIME HIGH QUALITY LIP SYN-CHRONIZATION WITH LATENT SPACE INPAINTING
83.
LatentSync: Audio Conditioned Latent Diffusion Models for Lip Sync
84.
T2m-gpt: Generating human motion from textual descriptions with discrete representations
85.
Motiongpt: Finetuned llms are general-purpose motion generators
86.
Guided Motion Diffusion for Controllable Human Motion Synthesis
87.
OmniControl: Control Any Joint at Any Time for Human Motion Generation
88.
Learning Long-form Video Prior via Generative Pre-Training
89.
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
90.
Magic3D: High-Resolution Text-to-3D Content Creation
91.
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
92.
One-Minute Video Generation with Test-Time Training
93.
Key-Locked Rank One Editing for Text-to-Image Personalization
94.
MARCHING CUBES: A HIGH RESOLUTION 3D SURFACE CONSTRUCTION ALGORITHM
95.
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
96.
NULL-text Inversion for Editing Real Images Using Guided Diffusion Models
97.
simple diffusion: End-to-end diffusion for high resolution images
98.
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
99.
Scalable Diffusion Models with Transformers
100.
All are Worth Words: a ViT Backbone for Score-based Diffusion Models
101.
An image is worth 16x16 words: Transformers for image recognition at scale
102.
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
103.
Photorealistic text-to-image diffusion models with deep language understanding||Imagen
104.
DreamFusion: Text-to-3D using 2D Diffusion
105.
GLIGEN: Open-Set Grounded Text-to-Image Generation
106.
Adding Conditional Control to Text-to-Image Diffusion Models
107.
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
108.
Multi-Concept Customization of Text-to-Image Diffusion
109.
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
110.
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
111.
VisorGPT: Learning Visual Prior via Generative Pre-Training
112.
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
113.
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
114.
ModelScope Text-to-Video Technical Report
115.
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
116.
Make-A-Video: Text-to-Video Generation without Text-Video Data
117.
Video Diffusion Models
118.
Learning Transferable Visual Models From Natural Language Supervision
119.
Implicit Warping for Animation with Image Sets
120.
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
121.
Motion-Conditioned Diffusion Model for Controllable Video Synthesis
122.
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
123.
UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation
124.
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
125.
Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics
126.
A Recipe for Scaling up Text-to-Video Generation
127.
High-Resolution Image Synthesis with Latent Diffusion Models
128.
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
129.
数据集：HumanVid
130.
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
131.
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
132.
数据集：Zoo-300K
133.
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
134.
LORA: LOW-RANK ADAPTATION OF LARGE LAN-GUAGE MODELS
135.
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
136.
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
137.
MagicPony: Learning Articulated 3D Animals in the Wild
138.
Splatter a Video: Video Gaussian Representation for Versatile Processing
139.
数据集：Dynamic Furry Animal Dataset
140.
Artemis: Articulated Neural Pets with Appearance and Motion Synthesis
141.
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation
142.
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
143.
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios
144.
Humans in 4D: Reconstructing and Tracking Humans with Transformers
145.
Learning Human Motion from Monocular Videos via Cross-Modal Manifold Alignment
146.
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
147.
Imagic: Text-Based Real Image Editing with Diffusion Models
148.
DiffEdit: Diffusion-based semantic image editing with mask guidance
149.
Dual diffusion implicit bridges for image-to-image translation
150.
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
151.
Prompt-to-Prompt Image Editing with Cross-Attention Control
152.
WANDR: Intention-guided Human Motion Generation
153.
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
154.
3D Gaussian Splatting for Real-Time Radiance Field Rendering
155.
Decoupling Human and Camera Motion from Videos in the Wild
156.
HMP: Hand Motion Priors for Pose and Shape Estimation from Video
157.
HuMoR: 3D Human Motion Model for Robust Pose Estimation
158.
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
159.
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
160.
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
161.
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
162.
Elucidating the Design Space of Diffusion-Based Generative Models
163.
SCORE-BASED GENERATIVE MODELING THROUGHSTOCHASTIC DIFFERENTIAL EQUATIONS
164.
Consistency Models
165.
Classifier-Free Diffusion Guidance
166.
Cascaded Diffusion Models for High Fidelity Image Generation
167.
LEARNING ENERGY-BASED MODELS BY DIFFUSIONRECOVERY LIKELIHOOD
168.
On Distillation of Guided Diffusion Models
169.
Denoising Diffusion Implicit Models
170.
PROGRESSIVE DISTILLATION FOR FAST SAMPLING OF DIFFUSION MODELS
171.
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
172.
ControlVideo: Training-free Controllable Text-to-Video Generation
173.
Pix2Video: Video Editing using Image Diffusion
174.
Structure and Content-Guided Video Synthesis with Diffusion Models
175.
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
176.
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
177.
Dreamix: Video Diffusion Models are General Video Editors
178.
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
179.
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
180.
DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing
181.
Content Deformation Fields for Temporally Consistent Video Processing
182.
PFNN: Phase-Functioned Neural Networks
Light (default)
Rust
Coal
Navy
Ayu
ReadPapers
Flame: Free-form language-based motion synthesis & editing